Information Retrieval: A Survey

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自然语言处理与信息检索共享平台*Zl.R&x[#{A

Information Retrieval: A Survey自然语言处理与信息检索共享平台QRD$nvIpER
30 November 2000
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\+hH4a*A:I2i0Ed Greengrass
H6S,t$Z:Bs4VT-t0Abstract
Le+wd d(^0Information Retrieval (IR) is the discipline that deals with retrieval of unstructured
]jQ;B$T3W6^ U'sh.N0data, especially textual documents, in response to a query or topic statement, which
%Q*s0sX` f,z&P0may itself be unstructured, e.g., a sentence or even another document, or which may自然语言处理与信息检索共享平台Xe3g)Ty5}|
be structured, e.g., a boolean expression. The need for effective methods of automated
X7RB3]X$|KJ sy0IR has grown in importance because of the tremendous explosion in the自然语言处理与信息检索共享平台x*{6N/V3Vc)b(Mn
amount of unstructured data, both internal, corporate document collections, and the
]@+c Mz0immense and growing number of document sources on the Internet. This report is a自然语言处理与信息检索共享平台)iFI%S-F$l:cQ k
tutorial and survey of the state of the art, both research and commercial, in this
e;Tsp1]+qB:mx0G0dynamic field. The topics covered include: formulation of structured and unstructured自然语言处理与信息检索共享平台G1R|_6b6R
queries and topic statements, indexing (including term weighting) of document
5i~Yqr/?;~0collections, methods for computing the similarity of queries and documents,
:J0C4l \7v0classification and routing of documents in an incoming stream to users on the basis自然语言处理与信息检索共享平台 ls)L_:i!@#M ly
of topic or need statements, clustering of document collections on the basis of language
M al@!EX2\#D(h2I0or topic, and statistical, probabilistic, and semantic methods of analyzing and
:P Z`f#iQ(c#{ f0retrieving documents.自然语言处理与信息检索共享平台"V$Xw6FP(yY

7kl0@9~!\{'u(`r0 information-retrieval-a-survey.pdf(1.07 MB)自然语言处理与信息检索共享平台V~GG!b]

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